s ICMV 2024

Special Session III

Call for Papers & Submission

Machine Vision for Autonomous Vehicles

The development of autonomous vehicles is a hot topic taken up not only by industry but increasingly by research institutions. The topic is not new. Already in the 80th big research projects such as the European EUREKA project “Prometheus” (PROgraMme for a European Traffic of Highest Efficiency and Unprecedented Safety, 1986–1994) were aimed at finding new solutions for increased road safety. However, the key finding gained almost 30 years ago was not so much an increase in autonomy as improved driver assistance, in order to provide more support to the driver in more complex situations. But new algorithms and implementations of Artificial Intelligence, sophisticated sensors and sensor fusion techniques are currently promising a significant improvement in the reliability of autonomous vehicles. In that context a lot of challenging problems are waiting on an answer. To them belong especially questions directed to changing environmental conditions during the autonomous drive such as rain, fog, snow, and in general difficult visibility conditions. If vehicles are to drive fully autonomously in the future, systems are required which scan the environment with high precision, high spatial and temporal resolution and guarantee the necessary reliability even in these difficult situations.
Today, a wealth of different sensors are integrated and combined. The sensor and data fusion can be described as inadequate in current configurations, since the individual data streams are processed and interpreted in parallel. A combination of the results takes place very late in the process chain. Inadequate results characterized by latency and blurring are the result. The special session is dedicated to that challenge. Various lectures address new approaches for better dealing with such complex situations. To them belong new ways of machine Learning for infrastructure monitoring, new LiDAR sensors for obstacle recognition, and two new sensors for the improvement of object recognition through scattering media.


Chairman: Prof. Wolfgang Osten

About Prof. Wolfgang Osten: he received the MSc/Diploma in Physics from the Friedrich-Schiller-University Jena in 1979. From 1979 to 1984 he was a member of the Institute of Mechanics in Berlin working in the field of experimental stress analysis and optical metrology. In 1983 he received the PhD degree from the Martin-Luther-University Halle-Wittenberg for his thesis in the field of holographic interferometry. From 1984 to 1991 he was employed at the Central Institute of Cybernetics and Information Processes ZKI in Berlin making investigations in digital image processing and computer vision. Between 1988 and 1991 he was heading the Institute for Digital Image Processing at the ZKI. In 1991 he joined the Bremen Institute of Applied Beam Technology (BIAS) to establish and to direct the Department Optical 3D-Metrology till 2002. Since September 2002 he has been a full professor at the University of Stuttgart and director of the Institute for Applied Optics. From 2006 till 2010 he was the vice rector for research and technology transfer of the Stuttgart University where he is currently the vice chair of the university council. His research work is focused on new concepts for industrial inspection and metrology by combining modern principles of optical metrology, sensor technology and image processing. Special attention is directed to the development of resolution enhanced technologies for the investigation of micro and nano structures.

Important Dates

Proposal Deadline: May 20, 2024
Notification: June 10, 2024

Submission Guide

Submit your contributions via Electronic Submission System: https://easychair.org/conferences/?conf=icmv2024( .pdf only). Apply an EC account if you don't have. Then login the EC, choose the special session III. Any qestions, please mail to secretary@icmv.org.

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